Senior Applied Scientist, Amazon Robotics - Vulcan

Job description

Our team in Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.

We are seeking an experienced Senior Applied Scientist to join our Motion Behaviors team. You will drive the development of learned controllers and manipulation behaviors, applying techniques like reinforcement learning and behavior cloning to robots…

Job requirements

PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
4+ years of robotics work cells and control systems experience
3+ years of building and deploying machine learning models for robotics applications
Track record of training reinforcement learning or imitation learning policies in simulation and successfully transferring them to physical robotic systems
Experience with sim-to-real transfer at scale (domain randomization, system identification, etc.)
Experience deploying learned policies in production environments with uptime and reliability requirements
Experience designing reward functions and training curricula for reinforcement learning on robotic systems

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Senior Applied Scientist, Amazon Robotics - Vulcan

Job description

Job requirements

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